Andrew C. Miller

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 4 papers; trusts 57 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Andrew C. Miller trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Radford M. Neal
  2. Diederik P. Kingma
  3. Michael I. Jordan
  4. David M. Blei
  5. Danilo Jimenez Rezende
  6. Geoffrey E. Hinton
  7. Jerome H. Friedman
  8. Max Welling
  9. Tim Salimans
  10. Tommi S. Jaakkola

Who trusts Andrew C. Miller overall

  1. Mingzhang Yin
  2. Yuling Yao
  3. Chris Cremer
  4. Cheng Zhang
  5. Francesco Locatello
  6. Ming Xu
  7. Aaron Mishkin
  8. Fangjian Guo
  9. Mingyuan Zhou
  10. Aki Vehtari

Papers from Andrew C. Miller's perspective

Ordered by how strongly the researchers Andrew C. Miller trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. GENERATIVE ADVERSARIAL NETS

Their papers